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rasyosef
/
reranker-amharic-medium

Text Ranking
sentence-transformers
Safetensors
Amharic
xlm-roberta
cross-encoder
Generated from Trainer
dataset_size:491752
loss:BinaryCrossEntropyLoss
Eval Results (legacy)
text-embeddings-inference
Model card Files Files and versions
xet
Community
2

Instructions to use rasyosef/reranker-amharic-medium with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use rasyosef/reranker-amharic-medium with sentence-transformers:

    from sentence_transformers import CrossEncoder
    
    model = CrossEncoder("rasyosef/reranker-amharic-medium")
    
    query = "Which planet is known as the Red Planet?"
    passages = [
    	"Venus is often called Earth's twin because of its similar size and proximity.",
    	"Mars, known for its reddish appearance, is often referred to as the Red Planet.",
    	"Jupiter, the largest planet in our solar system, has a prominent red spot.",
    	"Saturn, famous for its rings, is sometimes mistaken for the Red Planet."
    ]
    
    scores = model.predict([(query, passage) for passage in passages])
    print(scores)
  • Notebooks
  • Google Colab
  • Kaggle
reranker-amharic-medium
171 MB
Ctrl+K
Ctrl+K
  • 3 contributors
History: 9 commits
nielsr's picture
nielsr HF Staff
Improve model card: add paper, code links and citation
c1775f4 verified about 7 hours ago
  • .gitattributes
    1.52 kB
    initial commit about 1 year ago
  • README.md
    6.52 kB
    Improve model card: add paper, code links and citation about 7 hours ago
  • config.json
    874 Bytes
    Add new CrossEncoder model 11 months ago
  • model.safetensors
    169 MB
    xet
    Add new CrossEncoder model 11 months ago
  • special_tokens_map.json
    964 Bytes
    Upload CrossEncoder about 1 year ago
  • tokenizer.json
    2.56 MB
    Upload CrossEncoder about 1 year ago
  • tokenizer_config.json
    1.29 kB
    Add new CrossEncoder model 11 months ago